PMID- 30779402
OWN - NLM
STAT- MEDLINE
DCOM- 20201021
LR  - 20201021
IS  - 1522-2586 (Electronic)
IS  - 1053-1807 (Linking)
VI  - 50
IP  - 3
DP  - 2019 Sep
TI  - Application of neurite orientation dispersion and density imaging to characterize 
      brain microstructural abnormalities in type-2 diabetics with mild cognitive 
      impairment.
PG  - 889-898
LID - 10.1002/jmri.26687 [doi]
AB  - BACKGROUND: Diffusion-tensor-imaging (DTI) is sensitive in detecting white matter 
      changes in type-2 diabetes mellitus (T2DM). However, DTI indices can be affected 
      by either neurite density or spatial variation. A novel diffusion MRI technique, 
      termed neurite orientation dispersion and density imaging (NODDI), can provide 
      distinct indices of fiber density and dispersion. PURPOSE: To characterize brain 
      microstructural alterations in T2DM patients with mild cognitive impairment (MCI) 
      using the NODDI model. STUDY TYPE: Cross-sectional. SUBJECTS: Twenty T2DM 
      patients with (DM-MCI group), 18 age- and gender-matched T2DM patients with 
      normal cognition (DM-NC group), and 28 euglycemic healthy controls (HC). FIELD 
      STRENGTH/SEQUENCE: 3T/NODDI. ASSESSMENT: Diffusion data were analyzed using 
      tract-based-spatial-statistics (TBSS) analysis in white matter and voxel-based 
      analysis in both white and gray matter. NODDI indices, including intracellular 
      volume fraction (Vic) and orientation dispersion index (ODI), were estimated from 
      multiple regions and compared among these groups. STATISTICAL TESTS: Differences 
      between groups were compared by Student's t-test, Pearson chi-square test, or 
      analysis of variance when appropriate. Correlation analyses were performed to 
      investigate the relationship between NODDI variables and clinical measurements. 
      RESULTS: Whole-brain TBSS revealed that 2.29% and 2.02% of the white matter 
      regions exhibited decreased fractional anisotropy and Vic, respectively, between 
      the DM-NC and HC, while considerably larger white matter areas showed decreased 
      fractional anisotropy (38.38%) and Vic (34.64%) between the DM-MCI and HC 
      (Student's t-test, P < 0.05). However, the angular variation of neurites, 
      characterized by ODI, exhibited very little (0.1%, P < 0.05) or no difference (P 
      > 0.05) between either the DM-MCI or DM-NC groups and HC. Decreased Vic values in 
      the genu of the corpus callosum (R = 0.580, 0.551 and 0.586, P < 0.01) and 
      thalamus (R = 0.570, 0.616, and 0.595, P < 0.05) correlated with glycosylated 
      hemoglobin A1c level, disease duration, and neuropsychological scores, 
      respectively. DATA CONCLUSION: T2DM patients with cognitive decline had reduced 
      Vic, which indicated decreased density of axons and dendrites. NODDI might be 
      able to help probe microstructural changes in white and gray matter and provide 
      information on diabetic encephalopathy, including those with cognitive 
      impairment. LEVEL OF EVIDENCE: 1 Technical Efficacy: Stage 2 J. Magn. Reson. 
      Imaging 2019;50:889-898.
CI  - (c) 2019 International Society for Magnetic Resonance in Medicine.
FAU - Xiong, Ying
AU  - Xiong Y
AD  - Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong 
      University of Science and Technology, Wuhan, China.
FAU - Zhang, Shuoqi
AU  - Zhang S
AD  - Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong 
      University of Science and Technology, Wuhan, China.
FAU - Shi, Jingjing
AU  - Shi J
AD  - Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong 
      University of Science and Technology, Wuhan, China.
FAU - Fan, Yang
AU  - Fan Y
AD  - GE Healthcare, Beijing, China.
FAU - Zhang, Qiang
AU  - Zhang Q
AUID- ORCID: 0000-0002-3680-6394
AD  - Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong 
      University of Science and Technology, Wuhan, China.
FAU - Zhu, Wenzhen
AU  - Zhu W
AD  - Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong 
      University of Science and Technology, Wuhan, China.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20190219
PL  - United States
TA  - J Magn Reson Imaging
JT  - Journal of magnetic resonance imaging : JMRI
JID - 9105850
SB  - IM
MH  - Aged
MH  - Brain/*diagnostic imaging/physiopathology
MH  - Cognitive Dysfunction/*complications/physiopathology
MH  - Cross-Sectional Studies
MH  - Diabetes Mellitus, Type 2/*complications/physiopathology
MH  - Diffusion Tensor Imaging/*methods
MH  - Female
MH  - Gray Matter/diagnostic imaging/physiopathology
MH  - Humans
MH  - Male
MH  - Middle Aged
MH  - *Neurites
MH  - White Matter/diagnostic imaging/physiopathology
OTO - NOTNLM
OT  - NODDI
OT  - diffusion
OT  - neurite density
OT  - type-2 diabetes mellitus
EDAT- 2019/02/20 06:00
MHDA- 2020/10/22 06:00
CRDT- 2019/02/20 06:00
PHST- 2018/12/04 00:00 [received]
PHST- 2019/02/05 00:00 [revised]
PHST- 2019/02/05 00:00 [accepted]
PHST- 2019/02/20 06:00 [pubmed]
PHST- 2020/10/22 06:00 [medline]
PHST- 2019/02/20 06:00 [entrez]
AID - 10.1002/jmri.26687 [doi]
PST - ppublish
SO  - J Magn Reson Imaging. 2019 Sep;50(3):889-898. doi: 10.1002/jmri.26687. Epub 2019 
      Feb 19.